Estimating Individualized Treatment Rules in Longitudinal Studies with Covariate-Driven Observation Times [PDF]
The sequential treatment decisions made by physicians to treat chronic diseases are formalized in the statistical literature as dynamic treatment regimes. To date, methods for dynamic treatment regimes have been developed under the assumption that observation times, i.e., treatment and outcome monitoring times, are determined by study investigators ...
arxiv
The potential use of melatonin for preventing cisplatin ototoxicity : an insight for a clinical approach [PDF]
Cisplatin, one of the most effective and potent anticancer drugs, is used in the treatment of a wide variety of both pediatric and adult malignancies.
Araujo, Juliana Gusmão de+3 more
core +3 more sources
This study employed transcriptomic analysis and Mendelian randomization to identify diagnostic and therapeutic biomarkers associated with aging‐circadian rhythm in knee osteoarthritis. Further functional and molecular mechanism analyses were conducted to elucidate their roles in knee osteoarthritis, providing a theoretical basis for clinical diagnosis ...
Hao Li+7 more
wiley +1 more source
Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets [PDF]
False medical information on social media poses harm to people's health. While the need for biomedical fact-checking has been recognized in recent years, user-generated medical content has received comparably little attention. At the same time, models for other text genres might not be reusable, because the claims they have been trained with are ...
arxiv
Contribution of physiological dynamics in predicting major depressive disorder severity
Abstract This study aimed to explore the physiological dynamics of cognitive stress in patients with Major Depressive Disorder (MDD) and design a multiparametric model for objectively measuring severity of depression. Physiological signal recordings from 40 MDD patients and 40 healthy controls were collected in a baseline stage, in a stress‐inducing ...
Esther García Pagès+11 more
wiley +1 more source
ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating An Antidepressant Effect in Mice after Administering Kratom Leaf Extracts [PDF]
Kratom (KT) typically exerts antidepressant (AD) effects. However, evaluating which form of KT extracts possesses AD properties similar to the standard AD fluoxetine (flu) remained challenging. Here, we adopted an autoencoder (AE)-based anomaly detector called ANet to measure the similarity of mice's local field potential (LFP) features that responded ...
arxiv
The pharmacological management of psychiatric comorbidities in patients with epilepsy. [PDF]
Psychiatric disorders represent a frequent comorbidity in patients with epilepsy affecting quality of life, morbidity and mortality. Evidence-based data on the management of these conditions are limited but a number of recommendations are now available ...
Abdel-Baki+84 more
core +1 more source
Nicorandil administration significantly attenuates depression‐like behavior in rats with TBI. Mechanistically, nicorandil suppresses ferroptosis via promoting the SLC7A11/GPX4 axis in the hippocampus of rats with TBI, thus ameliorating depression‐like symptoms induced by TBI. Nicorandil: Nic.
Yao‐Ran Tu+4 more
wiley +1 more source
5-HT2A mediated plasticity as a target in major depression: a narrative review connecting the dots from neurobiology to cognition and psychology [PDF]
As the world's first primary morbidity factor, depression has a considerable impact on both an individual as well as a societal level. despite their discovery several decades ago, classical antidepressants have been shown to provide limited benefits against this condition.
arxiv
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction [PDF]
With the increasing legalization of medical and recreational use of cannabis, more research is needed to understand the association between depression and consumer behavior related to cannabis consumption. Big social media data has potential to provide deeper insights about these associations to public health analysts.
arxiv +1 more source